{"id":"W3198591104","doi":"10.20944/preprints202109.0066.v1","title":"In Utero Exposure to Persistent Organic Pollutants and Childhood Lipid Levels","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Health Canada; Université de Sherbrooke","keywords":"In utero; Polybrominated diphenyl ethers; Pollutant; Internal medicine; Endocrinology; Confounding; Lipid metabolism; Persistent organic pollutant; Gestation; Blood lipids; Physiology; Chemistry; Medicine; Cholesterol; Fetus; Pregnancy; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001714863,0.0002143947,0.0001659065,0.0002682989,0.0001811203,0.0004310949,0.0001282362,0.0002174727,0.001851839],"category_scores_gemma":[0.0008423188,0.0001695664,0.0001788524,0.0002878702,0.0001671769,0.0001435583,0.0002175142,0.0003020133,0.0002175127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395278,"about_ca_system_score_gemma":0.0002579671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006221033,"about_ca_topic_score_gemma":0.006591861,"domain_scores_codex":[0.9998757,0.00002273812,0.000008789028,0.00003463071,0.00002357415,0.00003449557],"domain_scores_gemma":[0.9995763,0.00009353664,0.0001875924,0.0000325747,0.00004163004,0.00006847674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002411785,0.00004622283,0.9906248,0.00002459647,0.00006637686,0.000276435,0.0001191685,0.00005253837,0.004418803,0.00008282601,0.00008517595,0.003961871],"study_design_scores_gemma":[0.000001930307,0.00008805814,0.9974129,0.00001065361,0.00004588205,0.0003693977,0.00008504451,0.00003800597,0.00142297,0.00004482441,0.000478523,0.000001774179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968947,0.001464977,0.0001493778,0.00006404168,0.0000100121,0.000002486042,0.0004711617,0.000005675193,0.0009375001],"genre_scores_gemma":[0.9965519,0.001956166,0.0001945859,0.00002627256,0.000009675094,0.000004023383,0.0003574837,0.000003561088,0.0008964904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006221033,"threshold_uncertainty_score":0.01236963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05447229713265355,"score_gpt":0.2912287451679919,"score_spread":0.2367564480353384,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}